A multi-level approach using genetic algorithms in an ensemble of Least Squares Support Vector Machines

作者：

Highlights：

• GA is employed to guide the ensemble design in all aspects.

• The entire structure of the ensemble is optimized simultaneously.

• Multiple ways to generate diversity are explored.

• Results show the effectiveness of feature selection and ensemble pruning.

摘要

•GA is employed to guide the ensemble design in all aspects.•The entire structure of the ensemble is optimized simultaneously.•Multiple ways to generate diversity are explored.•Results show the effectiveness of feature selection and ensemble pruning.

论文关键词：Ensemble systems,Diversity,Genetic algorithms,Least Squares Support Vector Machines,Feature selection

论文评审过程：Received 12 October 2015, Revised 28 March 2016, Accepted 16 May 2016, Available online 17 May 2016, Version of Record 18 June 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.05.033